Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Field Sampling and Soil Analysis
2.3. A Brief Description of the Geospatial Soil Sensing System (GEOS3)
2.4. Image and Spectral Information
2.5. Preprocessing and Model Calibration
2.6. Soil Maps and Validation
3. Results and Discussion
3.1. Characterization of Spectral Patterns of Soils from Ground to Space
3.2. Performance of Clay and Sand Content Predictions
3.3. Variable Importance for Mapping Soil Attributes
3.4. Clay and Sand Content Maps
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Source | Sensor 1 | R2 Range | Author(s) |
---|---|---|---|
Laboratory | UV-VIS-NIR (20–2500 nm) | 0.61–0.80 | Islam et al. [12] |
Pirie et al. [13] | |||
Veum et al. [14] | |||
VIS-NIR-SWIR (350–2500 nm) | 0.75–0.91 | Wang and Pan [15] | |
O’Rourke et al. [16] | |||
Conforti et al. [17] | |||
Pinheiro et al. [18] | |||
Adeline et al. [19] | |||
Dotto et al. [20] | |||
Satellite | TM | 0.44–0.67 | Henderson et al. [21] |
Nanni and Demattê [22] | |||
Fiorio et al. [23] | |||
Shabou et al. [24] | |||
ETM+ | 0.26–0.68 | Chagas et al. [25] | |
Diek et al. [26] | |||
Jena-Optronik (RapidEye) | 0.24–0.56 | Forkuor et al. [27] | |
EO-1 ALI (Hyperion) | 0.51–0.83 | Zhang et al. [28] | |
Castaldi et al. [29] | |||
Relief-Derived Covariates | Elevation, Slope, Convergence Index, and Topographic Wetness Index | 0.55 | Samuel-Rosa et al. [30] |
Relative Elevation and Slope | 0.07 | Sumfleth and Duttman [31] | |
Slope, Plan Convexity, and Upslope Distance | 0.51 | Odeh et al. [32] |
Covariate | Description | Unit | Min | Max | Mean | SD |
---|---|---|---|---|---|---|
B1 | Band no. 1 from the SYSI [33] with the Landsat 5 TM spectral range 450–520 nm | Reflectance factor | 0 | 0.1 | 0.05 | 0.01 |
B2 | Band no. 2 from the SYSI [33] with the Landsat 5 TM spectral range 520–600 nm | Reflectance factor | 0 | 0.16 | 0.08 | 0.02 |
B3 | Band no. 3 from the SYSI [33] with the Landsat 5 TM spectral range 630–690 nm | Reflectance factor | 0 | 0.22 | 0.12 | 0.03 |
B4 | Band no. 4 from the SYSI [33] with the Landsat 5 TM spectral range 760–900 nm | Reflectance factor | 0 | 0.35 | 0.18 | 0.05 |
B5 | Band no. 5 from the SYSI [33] with the Landsat 5 TM spectral range 1550–1750 nm | Reflectance factor | 0 | 0.53 | 0.22 | 0.08 |
B7 | Band no. 7 from the SYSI [33] with the Landsat 5 TM spectral range 2080–2350 nm | Reflectance factor | 0 | 0.49 | 0.21 | 0.08 |
DEM | Elevation from the digital elevation model of Shuttle Radar Topography Mission (1 arc second ~ 30 m) with vertical inaccuracy <16 m | m | 450 | 924 | 615.45 | 84.58 |
CNBL | Channel network base level calculated from SAGA GIS version 2.1.2 [44] | m | 442.64 | 883.71 | 595.75 | 81.69 |
RS | Relative slope calculated from SAGA GIS version 2.1.2 [44] | fraction | 0 | 1 | 0.45 | 0.33 |
VD | Valley depth calculated from SAGA GIS version 2.1.2 [44] | m | 0 | 132.98 | 31.15 | 27.37 |
VDTCN | Vertical distance to channel network calculated from SAGA GIS version 2.1.2 [44] | m | 0 | 117.27 | 19.97 | 17.19 |
X | X projected coordinate calculated from SAGA GIS version 2.1.2 [44] | m | 127,994.66 | 213,372.23 | 163,710.79 | 19,077.86 |
Y | Y projected coordinate calculated from SAGA GIS version 2.1.2 [44] | m | 7,534,046.16 | 7,635,498.16 | 7,576,885.92 | 21,724.02 |
Attribute | Algorithm | Parameters | R2 * | RMSE * | RPD * | RPIQ * |
---|---|---|---|---|---|---|
Clay | Random Forest | Laboratory spectral measurements | 0.79 | 74.25 | 2.17 | 1.56 |
Resampled to multispectral | 0.81 | 70.29 | 2.29 | 1.65 | ||
RDC | 0.61 | 97.73 | 1.61 | 1.16 | ||
SYSI | 0.81 | 67.47 | 2.33 | 1.67 | ||
SYSI + RDC | 0.82 | 67.04 | 2.35 | 1.69 | ||
Cubist | Laboratory spectral measurements | 0.86 | 59.02 | 2.73 | 1.97 | |
Resampled to multispectral | 0.83 | 65.79 | 2.45 | 1.76 | ||
RDC | 0.64 | 93.44 | 1.69 | 1.21 | ||
SYSI | 0.83 | 65.01 | 2.42 | 1.74 | ||
SYSI + RDC | 0.83 | 65.36 | 2.41 | 1.73 | ||
Sand | Random Forest | Laboratory spectral measurements | 0.81 | 94.56 | 2.30 | 1.19 |
Resampled to multispectral | 0.83 | 89.78 | 2.42 | 1.25 | ||
RDC | 0.63 | 128.52 | 1.65 | 0.81 | ||
SYSI | 0.82 | 89.21 | 2.38 | 1.17 | ||
SYSI + RDC | 0.82 | 89.54 | 2.37 | 1.16 | ||
Cubist | Laboratory spectral measurements | 0.87 | 79.29 | 2.74 | 1.42 | |
Resampled to multispectral | 0.85 | 83.33 | 2.61 | 1.35 | ||
RDC | 0.65 | 125.69 | 1.69 | 0.83 | ||
SYSI | 0.86 | 79.99 | 2.65 | 1.30 | ||
SYSI + RDC | 0.85 | 82.66 | 2.57 | 1.26 |
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Fongaro, C.T.; Demattê, J.A.M.; Rizzo, R.; Lucas Safanelli, J.; Mendes, W.D.S.; Dotto, A.C.; Vicente, L.E.; Franceschini, M.H.D.; Ustin, S.L. Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images. Remote Sens. 2018, 10, 1555. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10101555
Fongaro CT, Demattê JAM, Rizzo R, Lucas Safanelli J, Mendes WDS, Dotto AC, Vicente LE, Franceschini MHD, Ustin SL. Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images. Remote Sensing. 2018; 10(10):1555. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10101555
Chicago/Turabian StyleFongaro, Caio T., José A. M. Demattê, Rodnei Rizzo, José Lucas Safanelli, Wanderson De Sousa Mendes, André Carnieletto Dotto, Luiz Eduardo Vicente, Marston H. D. Franceschini, and Susan L. Ustin. 2018. "Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images" Remote Sensing 10, no. 10: 1555. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10101555